• Nuclear Engineering and Technology
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• 제17권4호
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• pp.247-255
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• 1985

본 논문은 가변구조모델추종제어(VSMFC)계 설계의 새로운 방법을 고찰한 것이다. 설계 개념은 가변구조계(VSS)와 슬라이드모드 이론을 사용하여 비선형 시변다변수계가 파라미터 변동이 있을지라도 모델추종을 정확히 하게끔 제어측이 가변구조를 갖게 하는 것이다. 본 논문의 방법을 실제 물리계에 적용할 때 컴퓨터 계산시간의 감소와 파라미터변동에 무관한 동적응답을 기대할 수 있다. 이론의 유효성을 밝히기 위해 VSMPC를 1000MWe의 불등경수형 원자로(BWE)에 적용하였다. 즉 원자로의 출력요구가 정격출력의 85∼90% 범위에서 변할 때 부하추종출력제어가 원활히 이루어지는가를 컴퓨터 시뮬레이션하였다. 12개의 비선형미분방정식으로 동특성이 주어지는 원자로에서 6차계 선형모델을 85% 정격치에서 구하고 여러범위에 걸쳐서 부하변동이 있을 때 파라미터변동을 극복하면서도 출력제어를 원활히 하는가를 연구하였다.

• 한국자동차공학회논문집
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• 제9권6호
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• pp.57-64
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• 2001

This study presents an self tuning regulator(STR) to improve the air-fuel ratio control of performance of gasoline engine. The STR is designed based on the nonlinear dynamic engine model, and the performance of the STR is evaluated through the simulation and experiments. The STR shows better performance than a conventional PI controller in terms of the response time and disturbance rejection. Since the STR has less calculation load than the complex nonlinear controller, this algorithm can be easily applied to on-board engine controller.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2003년도 춘계학술대회논문집
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• pp.1048-1053
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• 2003

This paper proposed a MR(Magneto-rheological) seat damper for a commercial vehicle. After formulating the governing equation of motion, an appropriate size of damper is designed and manufactured. Following the equation of fie d-dependent damping force characteristics, a semi-active seat suspension installed with the proposed MR-damper is constructed and its dynamic model id established, Subsequently, vibration isolation performance of the semi-active suspension system is demonstrated by incorporating with a MRAC(Model referenced adaptive control) fer the MR Seat Damper

• International Journal of Control, Automation, and Systems
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• 제5권3호
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• pp.307-316
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• 2007

In real system application, the interacting multiple model (IMM) based algorithm operates with the following problems: it requires less computing resources as well as a good performance with respect to the various target maneuvering, it requires a robust performance with respect to the time-varying measurement noise, and further, it requires an easy design procedure in terms of its structures and parameters. To solve these problems, an adaptive fuzzy interacting multiple model (AFIMM) algorithm, which is based on the basis sub-models defined by considering the maneuvering property and the time-varying mode transition probabilities designed by using the mode probabilities as the inputs of the fuzzy decision maker whose widths are adjusted, is proposed. To verify the performance of the proposed algorithm, a radar target tracking is performed. Simulation results show that the proposed AFIMM algorithm solves all problems in the real system application of the IMM based algorithm.

• KIEAE Journal
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• 제11권2호
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• pp.91-96
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• 2011

The purpose of this study is to measure the environmental effects of different alternative building materials. The following building materials were tested: clay bricks, cement wall, and red-clay plaster. Four mock-up models were constructed using clay bricks, cement wall, red-clay plaster and the last model as the control model. The effects of the above four building materials on temperature, humidity, the emissions of formaldehyde, and V.O.C were measured. This experiment was conducted during September. The conclusions are as follows. Clay bricks were able to control temperature, humidity and filter formaldehyde by itself. The environment within the cement wall was not affected by the humidity changes outside. Red-clay plaster walls had little impact on the environment because it is very thin.!

• 운동영양학회지
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• 제25권4호
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• pp.17-23
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• 2021

[Purpose] This study aimed to investigate the effect of education based on the health belief model on the physical activity of the staff of the University of Medical Sciences. [Methods] This semi-experimental study was conducted on 130 university staff aged 25-50 years from the Hamadan University of Medical Sciences. Inclusion criteria were having at least 1 year of work experience, lack of acute and chronic physical and mental illnesses, and not using drugs that affect physical activity. The samples were randomly divided into two groups. The experimental group received three training sessions based on the health belief model. Before and 2 months after training, the control and experimental groups were evaluated via the following questionnaires: (1) demographic information questionnaire, (2) Health Belief Model Questionnaire, and (3) International Physical Activity Questionnaire. Finally, data were analyzed statistically. [Results] The training process resulted in a significant increase in the mean scores of the health belief model constructs in the experimental group, but changes in the control group were not significant. Self-efficacy was the strongest predictor of physical activity. [Conclusion] The health belief model is a useful model for improving individuals' understanding of the benefits of physical activity.

• 한국전자통신학회논문지
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• 제7권6호
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• pp.1377-1383
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• 2012

비디오 코딩에서 GOP의 첫 번째 프레임은 많은 비트를 발생시키는 인트라 모드로 압축되고 다음 프레임의 인터 모드 압축에 사용되기 때문에 첫 프레임을 위한 초기 QP 값은 첫 프레임뿐만 아니라 이후 프레임에도 영향을 주게 된다. 일반적으로 초기 QP 값은 bpp 값에 따라 4가지 값 중에 하나로 설정된다. 이렇게 설정하는 것은 간단한 반면 부정확한 문제가 있다. 정확한 초기 QP 값 예측을 위해서는 bpp 뿐만 아니라 영상의 복잡도와 전송률도 함께 고려하여야 한다. 본 논문에서는 GOP의 인코딩 특성을 분석하여 전체 GOP의 PSNR 값을 최대로 하는 초기 QP 값을 찾기 위한 트래픽 모델과 실시간 영상 압축에서 모델 파라미터를 실시간으로 구하는 방법을 제안한다. 실험 결과는 제안하는 모델이 초기 QP 계산에 필요한 트래픽 특성을 잘 반영하고 있으며 또한 실시간으로 모델 파라미터를 구하는 방법도 효과적으로 작동함을 보여준다.

• 대한기계학회논문집
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• 제17권5호
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• pp.1123-1131
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• 1993

본 논문에서는 비행체의 사이드슬립(sideslip)의 변화를 최소로 하면서 롤(roll) 및 요(yaw) 운동을 제어하는 것을 제어목표로 하여, 입출력 갯수가 같은 정방(square)시스템과 입출력 갯수가 다른 비정방(nonsquare)시스템에 대하여 LQG/LTR 및 비례 재어기를 각각 설계하여 그 성능을 비교분석한다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1989년도 한국자동제어학술회의논문집; Seoul, Korea; 27-28 Oct. 1989
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• pp.675-681
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• 1989

As an adaptive control function generator, the CMAC (Cerebellar Model Arithmetic or Articulated Controller) based learning control has drawn a great attention to realize a rather robust real-time manipulator control under the various uncertainties. There remain, however, inherent problems to be solved in the CMAC application to robot motion control or perception of sensory information. To apply the CMAC to the various unmodeled or modeled systems more efficiently, It is necessary to analyze the effects of the CMAC control parameters an the trained net. Although the CMAC control parameters such as size of the quantizing block, learning gain, input offset, and ranges of input variables play a key role in the learning performance and system memory requirement, these have not been fully investigated yet. These parameters should be determined, of course, considering the shape of the desired function to be trained and learning algorithms applied. In this paper, the interrelation of these parameters with learning performance is investigated under the basic learning schemes presented by authors. Since an analytic approach only seems to be very difficult and even impossible for this purpose, various simulations have been performed with prespecified functions and their results were analyzed. A general step following design guide was set up according to the various simulation results.

• 한국기계연구소 소보
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• 통권19호
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• pp.125-139
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• 1989

As an adaptive control function generator, the CMAC (Cerebellar Model Arithmetic or Articulated Controller) based learning control has drawn a great attention to realize a rather robust real-time manipulator control under the various uncertainties. There remain, however, inherent problems to be solved in the CMAC application to robot motion control or perception of sensory information. To apply the CMAC to the various unmodeled or modeled systems more efficiently, it is necessary to analyze the effects of the CMAC control parameters on the trained net. Although the CMAC control parameters such as size of the quantizing block, learning gain, input offset, and ranges of input variables play a key role in the learning performance and system memory requirement, these have not been fully investigated yet. These parameters should be determined, of course, considering the shape of the desired function to be trained and learning algorithms applied. In this paper, the interrelation of these parameters with learning performance is investigated under the basic learning schemes presented by authors. Since an analytic approach only seems to be very difficult and even impossible for this purpose, various simulations have been performed with pre specified functions and their results were analyzed. A general step following design guide was set up according to the various simulation results.